Complex Databricks Deal Support

You are interviewing for a Solutions Architect role at Databricks. Describe a complex deal you supported in partnership with an Account Executive (AE), where your technical and customer-facing work materially influenced the outcome.

Your answer should focus on a real pre-sales cycle involving products such as the Databricks Data Intelligence Platform, Delta Lake, Unity Catalog, Databricks SQL, MLflow, or Mosaic AI where relevant. Choose an example with meaningful complexity: multiple stakeholders, technical objections, security or architecture concerns, competitive pressure, unclear requirements, or a demanding proof of value.

What to cover

1. Deal context: customer profile, business problem, deal size or strategic importance, and why the opportunity was complex.
2. Your role with the AE: how you divided responsibilities, aligned on account strategy, and coordinated customer engagement.
3. Discovery and solutioning: how you uncovered technical and business requirements, shaped the architecture, and mapped Databricks capabilities to customer outcomes.
4. Execution: demos, workshops, proof of concept, performance validation, security reviews, executive presentations, or migration planning.
5. Obstacles: technical blockers, stakeholder misalignment, procurement friction, incumbent vendors, or timeline risk — and how you handled them.
6. Outcome: business result, customer impact, deal progression or close, and what you would do differently.

Interviewer focus

A strong answer should show that you can operate as a trusted technical advisor, influence without formal authority, and move a deal forward through structured discovery, technical credibility, and strong partnership with sales. Use a clear framework such as Situation, Actions, Decisions, Results, Learnings rather than a generic story.